𝐃𝐚𝐭𝐚 𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐢𝐬 𝐥𝐢𝐤𝐞 𝐚 𝐲𝐨𝐮𝐧𝐠 𝐩𝐥𝐚𝐧𝐭 — 𝐢𝐭 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐠𝐫𝐨𝐰 𝐟𝐚𝐬𝐭𝐞𝐫 𝐣𝐮𝐬𝐭 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐲𝐨𝐮 𝐩𝐮𝐥𝐥 𝐨𝐧 𝐢𝐭

Despite billions invested in data and AI, most initiatives still fall short. Reports collect dust. AI pilots never scale. High investment, low return.

The typical response? "We need a better data culture." It gets treated as the missing ingredient — something to be designed and installed so that organizations finally recognize and act on the value in their data.

This is a fundamental mistake in reasoning. Organizational culture is not the cause of success or failure — it's the effect. It is the result of how an organization makes decisions and solves problems every day, not a prerequisite for doing so.

Attempts to engineer data culture directly — through value statements, training programs, or appeals to mindsets — miss the point entirely. You're just pulling on the plant.

In my new article on CIO.com, co-authored with Dr. Leonie Petry, we explain why this approach is doomed by design — and what to do instead: identify the true contextual barriers blocking value creation with data and AI, and remove them.

I'll share the link to the article in the first comment. 👇

𝘞𝘩𝘢𝘵 𝘢𝘳𝘦 𝘺𝘰𝘶 𝘥𝘰𝘪𝘯𝘨 𝘵𝘰 𝘤𝘳𝘦𝘢𝘵𝘦 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘤𝘰𝘯𝘥𝘪𝘵𝘪𝘰𝘯𝘴 𝘧𝘰𝘳 𝘨𝘳𝘰𝘸𝘵𝘩? 𝘖𝘳 𝘢𝘳𝘦 𝘺𝘰𝘶 𝘴𝘵𝘪𝘭𝘭 𝘱𝘶𝘭𝘭𝘪𝘯𝘨 𝘰𝘯 𝘺𝘰𝘶𝘳 "𝘥𝘢𝘵𝘢 𝘤𝘶𝘭𝘵𝘶𝘳𝘦 𝘱𝘭𝘢𝘯𝘵"?

#DataCulture #DataStrategy #DataLeaders